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Crowd Density and Risk Assessment

Crowd Density Detection

Continuously monitors various patterns such as sudden crowd concentration, backflow, and changes in movement speed.
When a situation occurs, it is delivered with evidence, enabling reliable response.
You can simply describe the severity of the situation or write excluded conditions to detect the exact moment.

The Process of Turning a Regular Camera into an AI Camera in Just 3 Minutes!

Step 1
Step 1

Detection Scenario Configuration

Easily write detection conditions using prompts.
Example: "Notify me if the density of people
is so high that the sidewalk is not visible"

Step 2
Step 2

Result Check & Optimization

Check the detection results and
modify the target and scenario if necessary.

Early Identification of Danger Signs

In environments with sudden crowds, a small increase in congestion can lead to a major accident.
A system is needed that can quickly identify danger signs by grasping people's movement patterns in real-time.
Intelligent control based on EVA helps administrators respond preemptively and strengthens safety operations.

Expansion to AI-based Physical Safety Control

EVA does not stop at detecting dangerous situations;
it can integrate with access control, alarm systems, guidance devices, and more.
When the risk of an accident is detected, immediate physical responses are executed,
allowing expansion into a Physical AI Environment that can prevent accidents before they occur.

The video source on this page is from the National Information Society Agency (NIA).